Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Konstantin Klemmer"'
Autor:
Adriano Koshiyama, Emre Kazim, Philip Treleaven, Pete Rai, Lukasz Szpruch, Giles Pavey, Ghazi Ahamat, Franziska Leutner, Randy Goebel, Andrew Knight, Janet Adams, Christina Hitrova, Jeremy Barnett, Parashkev Nachev, David Barber, Tomas Chamorro-Premuzic, Konstantin Klemmer, Miro Gregorovic, Shakeel Khan, Elizabeth Lomas, Airlie Hilliard, Siddhant Chatterjee
Publikováno v:
Royal Society Open Science, Vol 11, Iss 5 (2024)
Business reliance on algorithms is becoming ubiquitous, and companies are increasingly concerned about their algorithms causing major financial or reputational damage. High-profile cases include Google’s AI algorithm for photo classification mist
Externí odkaz:
https://doaj.org/article/464cc2f8c6234b59a73d03bbbb4c5d8f
Publikováno v:
Royal Society Open Science, Vol 8, Iss 2 (2021)
Under-reporting and delayed reporting of rape crime are severe issues that can complicate the prosecution of perpetrators and prevent rape survivors from receiving needed support. Building on a massive database of publicly available criminal reports
Externí odkaz:
https://doaj.org/article/4dd9973f45df41c5bf19823e18dc932a
Publikováno v:
PLoS ONE, Vol 13, Iss 12, p e0209090 (2018)
We investigate whether increasing cycling activity affects the emergence of new local businesses. Historical amenity data from OpenStreetMap is used to quantify change in shop and sustenance amenity counts. We apply an instrumental variable framework
Externí odkaz:
https://doaj.org/article/b997a125c1a04969aa1c9ed380be0baf
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:2549-2560
Shared e-mobility services have been widely tested and piloted in cities across the globe, and already woven into the fabric of modern urban planning. This paper studies a practical yet important problem in those systems: how to deploy and manage the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08591e748f08a51b1b653145adad8d43
https://doi.org/10.1109/tits.2021.3125745
https://doi.org/10.1109/tits.2021.3125745
Autor:
Konstantin Klemmer, Daniel B. Neill
Publikováno v:
SIGSPATIAL/GIS
Machine learning is gaining popularity in a broad range of areas working with geographic data, such as ecology or atmospheric sciences. Here, data often exhibit spatial effects, which can be difficult to learn for neural networks. In this study, we p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::465716d50da60a8b94fb3a5130fad9fc
https://doi.org/10.1145/3474717.3483922
https://doi.org/10.1145/3474717.3483922
Autor:
Franziska Leutner, Andrew Knight, Pete Rai, Christina Hitrova, Miro Gregorovic, Randy Goebel, Adriano Koshiyama, Janet Adams, Emre Kazim, Elizabeth Lomas, Parashkev Nachev, Philip Treleaven, Lukasz Szpruch, David Barber, Jeremy Barnett, Konstantin Klemmer, Shakeel A. Khan, Ghazi Ahamat, Giles Pavey, Tomas Chamorro-Premuzic
Publikováno v:
SSRN Electronic Journal.
Business reliance on algorithms are becoming ubiquitous, and companies are increasingly concerned about their algorithms causing major financial or reputational damage. High-profile cases include VW’s Dieselgate scandal with fines worth of $34.69B,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97e890b7c32af3dca8faa4e248e9fd03
https://doi.org/10.2139/ssrn.3778998
https://doi.org/10.2139/ssrn.3778998
The future of urban mobility is expected to be shared and electric. It is not only a more sustainable paradigm that can reduce emissions, but can also bring societal benefits by offering a more affordable on-demand mobility option to the general publ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80e586bf4db1ff363e829ab92e70ca1c
http://wrap.warwick.ac.uk/135568/1/WRAP-D3P-data-driven-demand-prediction-fast-expanding-electric-vehicle-sharing-systems-Wen-2020.pdf
http://wrap.warwick.ac.uk/135568/1/WRAP-D3P-data-driven-demand-prediction-fast-expanding-electric-vehicle-sharing-systems-Wen-2020.pdf
Publikováno v:
Decision Support Systems, 99, 75-85. Elsevier
In this paper we develop a spatial decision support system that assists free-floating carsharing providers in countering imbalances between vehicle supply and customer demand in existing business areas and reduces the risk of imbalance when expanding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6ed2f9eb87e396be40c7ca07820b12d
https://doi.org/10.1016/j.dss.2017.05.005
https://doi.org/10.1016/j.dss.2017.05.005
Publikováno v:
UbiComp/ISWC Adjunct
The 7th International Workshop on Pervasive Urban Applications (PURBA 2018)
The 7th International Workshop on Pervasive Urban Applications (PURBA 2018)
Bikesharing schemes are transportation systems that not only provide an efficient mode of transportation in congested urban areas, but also improve last-mile connectivity with public transportation and local accessibility. Bikesharing schemes around
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fc241c0fe8bd3332dfcf551eeb22677
http://arxiv.org/abs/1804.05584
http://arxiv.org/abs/1804.05584
Publikováno v:
PLoS One (online), 13(12). Public Library of Science
PLoS ONE, Vol 13, Iss 12, p e0209090 (2018)
PLoS ONE
PLoS ONE, Vol 13, Iss 12, p e0209090 (2018)
PLoS ONE
We investigate whether increasing cycling activity affects the emergence of new local businesses. Historical amenity data from OpenStreetMap is used to quantify change in shop and sustenance amenity counts. We apply an instrumental variable framework
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cf90539d20f943a93566ea2e428b468
https://pure.eur.nl/en/publications/129721f6-fc9c-468c-8880-f140480658ba
https://pure.eur.nl/en/publications/129721f6-fc9c-468c-8880-f140480658ba